# Phase 1: Foundation - Status

**Date:** October 31, 2025  
**Status:** ✅ **COMPLETE**

---

## ✅ Completed Tasks

### Backend Infrastructure
- ✅ FastAPI application scaffold with CORS middleware
- ✅ Health endpoint (`/health`)
- ✅ Version endpoint (`/version`)
- ✅ OpenAPI documentation (available at `/docs` and `/openapi.json`)

### Database Layer
- ✅ SQLAlchemy models for all entities:
  - `Photo` (id, path, filename, checksum, date_added, date_taken, width, height, mime_type)
  - `Face` (id, photo_id, person_id, bbox, embedding, confidence, quality, model, detector)
  - `Person` (id, display_name, given_name, family_name, notes, created_at)
  - `PersonEmbedding` (id, person_id, face_id, embedding, quality, model, created_at)
  - `Tag` (id, tag, created_at)
  - `PhotoTag` (photo_id, tag_id, created_at)
- ✅ Alembic configuration for migrations
- ✅ Database session management

### Authentication
- ✅ JWT-based authentication (python-jose)
- ✅ Login endpoint (`POST /api/v1/auth/login`)
- ✅ Token refresh endpoint (`POST /api/v1/auth/refresh`)
- ✅ Current user endpoint (`GET /api/v1/auth/me`)
- ✅ Single-user mode (default: admin/admin)

### Jobs System
- ✅ RQ (Redis Queue) integration
- ✅ Job status endpoint (`GET /api/v1/jobs/{job_id}`)
- ✅ Worker skeleton (`src/web/worker.py`)

### Developer Experience
- ✅ Docker Compose configuration (api, worker, db, redis)
- ✅ Requirements.txt updated with all dependencies
- ✅ Project structure organized (`src/web/`)

---

## 📁 Project Structure Created

```
src/web/
├── app.py                 # FastAPI app factory
├── settings.py            # App settings (version, title)
├── worker.py              # RQ worker entrypoint
├── api/
│   ├── __init__.py
│   ├── auth.py            # Authentication endpoints
│   ├── health.py          # Health check
│   ├── jobs.py            # Job management
│   └── version.py         # Version info
├── db/
│   ├── __init__.py
│   ├── models.py          # SQLAlchemy models
│   ├── base.py            # DB base exports
│   └── session.py         # Session management
├── schemas/
│   ├── __init__.py
│   ├── auth.py            # Auth Pydantic schemas
│   └── jobs.py            # Job Pydantic schemas
└── services/
    └── __init__.py        # Service layer (ready for Phase 2)

alembic/                   # Alembic migrations
├── env.py                 # Alembic config
└── script.py.mako         # Migration template

deploy/
└── docker-compose.yml     # Docker Compose config

frontend/
└── README.md              # Frontend setup instructions
```

---

## 🔌 API Endpoints Available

### Health & Meta
- `GET /health` - Health check
- `GET /version` - API version

### Authentication (`/api/v1/auth`)
- `POST /api/v1/auth/login` - Login (username, password) → returns access_token & refresh_token
- `POST /api/v1/auth/refresh` - Refresh access token
- `GET /api/v1/auth/me` - Get current user (requires Bearer token)

### Jobs (`/api/v1/jobs`)
- `GET /api/v1/jobs/{job_id}` - Get job status

---

## 🚀 Running the Server

```bash
cd /home/ladmin/Code/punimtag
source venv/bin/activate
export PYTHONPATH=/home/ladmin/Code/punimtag
uvicorn src.web.app:app --host 127.0.0.1 --port 8000
```

Then visit:
- API: http://127.0.0.1:8000
- Interactive Docs: http://127.0.0.1:8000/docs
- OpenAPI JSON: http://127.0.0.1:8000/openapi.json

---

## 🧪 Testing

### Test Login
```bash
curl -X POST http://127.0.0.1:8000/api/v1/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username":"admin","password":"admin"}'
```

Expected response:
```json
{
  "access_token": "eyJ...",
  "refresh_token": "eyJ...",
  "token_type": "bearer"
}
```

### Test Health
```bash
curl http://127.0.0.1:8000/health
```

Expected response:
```json
{"status":"ok"}
```

---

## 📦 Dependencies Added

- `fastapi==0.115.0`
- `uvicorn[standard]==0.30.6`
- `pydantic==2.9.1`
- `SQLAlchemy==2.0.36`
- `psycopg2-binary==2.9.9`
- `alembic==1.13.2`
- `redis==5.0.8`
- `rq==1.16.2`
- `python-jose[cryptography]==3.3.0`
- `python-multipart==0.0.9`

---

## 🔄 Next Steps (Phase 2)

1. **Image Ingestion**
   - Implement `/api/v1/photos/import` endpoint
   - File upload and folder scanning
   - Thumbnail generation

2. **DeepFace Processing**
   - Face detection pipeline in worker
   - Embedding computation
   - Store embeddings in database

3. **Identify Workflow**
   - Unidentified faces endpoint
   - Face assignment endpoints
   - Auto-match engine

4. **Frontend Basics**
   - React + Vite setup
   - Auth flow
   - Layout components

---

## ⚠️ Notes

- Database models are ready but migrations haven't been run yet
- Auth uses default credentials (admin/admin) - must change for production
- JWT secrets are hardcoded - must use environment variables in production
- Redis connection is hardcoded to localhost - configure via env in deployment
- Worker needs actual RQ task implementations (Phase 2)

---

**Phase 1 Status:** ✅ **COMPLETE - Ready for Phase 2**

